CN112214711A - Monitoring method of WeChat small program activity operation platform - Google Patents
Monitoring method of WeChat small program activity operation platform Download PDFInfo
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- CN112214711A CN112214711A CN202011151605.2A CN202011151605A CN112214711A CN 112214711 A CN112214711 A CN 112214711A CN 202011151605 A CN202011151605 A CN 202011151605A CN 112214711 A CN112214711 A CN 112214711A
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Abstract
The invention discloses a monitoring method of a WeChat small program activity operation platform, which comprises the following steps: calling a user management interface through the WeChat applet platform account to obtain a vermicelli ID list of the WeChat applet; acquiring behavior data of a user of the WeChat small program platform by using the vermicelli ID list; acquiring data to be analyzed in a system default setting mode or a user-defined monitoring period selection mode, selecting a corresponding correlation coefficient calculation model to analyze the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period, and visualizing a user data analysis result; the user data comprises vermicelli increment, vermicelli mobile phone number increment, page flow and access amount; and (5) finishing the analysis. The invention can realize user attribute customization and specific user group identification, can continuously track the use state and behavior of the specified user group, can know the fan increment and the page flow change trend in real time, and can more accurately monitor the operation condition of the WeChat small program movable operation platform.
Description
Technical Field
The invention relates to the field of operation monitoring, in particular to a monitoring method of a WeChat small program movable operation platform.
Background
The traditional WeChat small program user monitoring platform is mainly used for checking the change condition of fan people, such as new attention people, net increase attention people, cancel attention people, accumulate attention people and the like. The platform monitors global users as research objects, cannot track changes of activity of specific user groups in a targeted manner, and lacks finer-grained user management. The specific user group cannot be identified, the use state and the behavior of the specific user group cannot be continuously tracked, and the fan increment and the page flow change trend cannot be known, so that the operation condition of the WeChat small program movable operation platform cannot be accurately monitored.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a monitoring method for a wechat applet activity operation platform, which can realize user attribute customization and specific user group identification, can continuously track the use state and behavior of a specified user group, can know the fan increment and the page flow change trend in real time, and can monitor the activity of the wechat applet platform user more accurately, aiming at the above defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a monitoring method for constructing a WeChat applet activity operation platform comprises the following steps:
A) calling a user management interface through the WeChat account to obtain a vermicelli ID list of the WeChat applet;
B) acquiring behavior data of a user on the WeChat small program platform by using the vermicelli ID list; the behavior data of the user comprises user attention time, user subscription state, access page, access frequency and flow expenditure;
C) acquiring data objects to be analyzed in a system default setting mode or a user-defined monitoring period selection mode, wherein the data objects to be analyzed are from different micro signals and correspond to the same time period, and each data object to be analyzed has a specific field point;
D) selecting a corresponding correlation coefficient calculation model according to the characteristics of the field points of the data object to be analyzed, and calculating correlation coefficients between every two different field points in the time period according to the correlation coefficient calculation model to obtain a correlation calculation result;
E) analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period;
F) the method comprises the steps of visually presenting analysis results of user data through calling, and generating a statistical chart and an analysis report, wherein the user data comprises vermicelli increment, vermicelli mobile phone number increment, page flow and access amount;
G) and (5) finishing the analysis.
Preferably, between the steps E) and F), further comprising:
D1) acquiring a field data list by using an identification information field with a primary key property as a splicing field; the identification information field is a mobile phone number or IMEI;
D2) defining the attribute of the user group category; the user group category attributes comprise consuming users, silent users and concerned users;
D3) and on the basis of acquiring the splicing field, the field data list and the user group category attribute, executing splicing operation according to a splicing rule, and matching the bottom data with the designated user group.
Preferably, the analysis of the fan data trend is to calculate fan increment and fan mobile phone number increment through the behavior state that the user pays attention to and cancels the attention of the WeChat small program platform in the set time period; and analyzing the page flow trend, namely presenting the page flow and the access amount by using the access index of the user in the set time period.
Preferably, the splicing rule is that the mobile phone number or the IMEI is used for carrying out unique matching identification on the bottom layer data and the designated user group, the user data related to the designated user group in the bottom layer data is screened out, and trend change conditions of the number of fans and page flow of the designated user group are presented.
The monitoring method of the WeChat small program activity operation platform has the following beneficial effects: the user management interface is called through the WeChat applet platform account number to obtain a vermicelli ID list of the WeChat applet; acquiring behavior data of a user on the WeChat applet platform by using the vermicelli ID list; acquiring data to be analyzed in a system default setting mode or a user-defined monitoring period selection mode, selecting a corresponding correlation coefficient calculation model to analyze the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period, and visualizing a user data analysis result; compared with the conventional platform, the method and the system can realize user attribute customization and specific user group identification, continuously track the use state and behavior of the specified user group on the basis, know the fan increment and the page flow change trend in real time, and monitor the operation condition of the WeChat small program movable operation platform more accurately.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the monitoring method of the WeChat applet activity operation platform, the monitoring method of the WeChat applet activity operation platform comprises the following steps:
step S01, calling a user management interface through the WeChat applet platform account to obtain a WeChat applet vermicelli ID list: in the step, a user management interface is called through the WeChat applet platform account to obtain a vermicelli ID list of the WeChat applet.
Step S02, acquiring the behavior data of the user on the WeChat applet platform by using the vermicelli ID list: in the step, behavior data of the user on the WeChat small program platform is obtained by using the vermicelli ID list, and the behavior data of the user comprises user attention time, user subscription state, access page, access frequency, flow expenditure and the like.
Step S03 is to obtain data objects to be analyzed in a default setting manner or a user-defined monitoring period, where the data objects to be analyzed are from different micro-signals and correspond to the same time period, and each data object to be analyzed has a specific field point, and analyzes the fan data trend and the page flow trend of the micro-signal applet platform within a set time period (within a set time period). The monitoring period set by the default setting mode of the system is about 30 days or last 30 days, and in practical application, the monitoring period set by the default setting mode of the system can be correspondingly adjusted according to specific needs.
Step S04 is to select a corresponding correlation coefficient calculation model according to the characteristics of the field points of the data object to be analyzed, and calculate the correlation coefficient between every two different field points in the time period according to the correlation coefficient calculation model to obtain a correlation calculation result.
Step S05 in the method of the embodiment, the analysis of the fan data trend is to calculate the fan increment and the fan mobile phone number increment through the behavior state that the user pays attention to and cancels the attention of the micro-letter small program platform in the set time period; the analysis of the page flow trend is to present the page flow and the access amount by using the access index of the user in a set time period.
And step S06, visually presenting the analysis result of the user data by calling, and generating a statistical chart and an analysis report, wherein the user data comprises fan increment, fan mobile phone number increment, page flow and access amount.
Step S07 ends the analysis: in this step, the analysis is ended.
Compared with the traditional platform, the method can realize user attribute customization and specific user group identification, continuously track the use state and behavior of the specified user group on the basis, know the fan increment and the page flow change trend in real time and monitor the activity of the user of the WeChat small program platform more accurately.
For the present embodiment, the following steps may be further included between the step S05 and the step S06:
step S41 acquires a field data list using the identification information field having the property of the primary key as a concatenation field: in this step, the identification information field with the property of the primary key is used as a splicing field to obtain a field data list for identifying a specific user group. The identification information field may be a mobile phone number or an IMEI.
Step S42 defines the user group category attribute: in this step, the user group category attribute is defined, and the category attribute of the user group can be indicated by selecting the corresponding type attribute. It should be noted that, in this embodiment, the user group category attribute includes a consuming user, a silent user, a focused user, and the like. Of course, some other category attributes may be added according to specific needs in practical applications.
Step S43, on the basis of obtaining the splicing field, the field data list, and the user group category attribute, performs splicing operation according to the splicing rule, and matches the bottom layer data with the designated user group.
Compared with the monitoring mode of taking the user as the whole analysis object in the prior art, the method and the system can realize continuous tracking monitoring aiming at a specific user group, and more effectively achieve the accurate target of the user operation management of the WeChat small program platform.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. A monitoring method for a WeChat applet activity operation platform is characterized by comprising the following steps:
A) calling a user management interface through the WeChat account to obtain a vermicelli ID list of the WeChat applet;
B) acquiring behavior data of a user on the WeChat small program platform by using the vermicelli ID list; the behavior data of the user comprises user attention time, user subscription state, access page, access frequency and flow expenditure;
C) acquiring data objects to be analyzed in a system default setting mode or a user-defined monitoring period selection mode, wherein the data objects to be analyzed are from different micro signals and correspond to the same time period, and each data object to be analyzed has a specific field point;
D) selecting a corresponding correlation coefficient calculation model according to the characteristics of the field points of the data object to be analyzed, and calculating correlation coefficients between every two different field points in the time period according to the correlation coefficient calculation model to obtain a correlation calculation result;
E) analyzing the vermicelli data trend and the page flow trend of the WeChat small program platform in a set time period;
F) the method comprises the steps of visually presenting analysis results of user data through calling, and generating a statistical chart and an analysis report, wherein the user data comprises vermicelli increment, vermicelli mobile phone number increment, page flow and access amount;
G) and (5) finishing the analysis.
2. The method for monitoring the active operating platform of the WeChat applet according to claim 1, further comprising between the steps E) and F):
D1) acquiring a field data list by using an identification information field with a primary key property as a splicing field; the identification information field is a mobile phone number or IMEI;
D2) defining the attribute of the user group category; the user group category attributes comprise consuming users, silent users and concerned users;
D3) and on the basis of acquiring the splicing field, the field data list and the user group category attribute, executing splicing operation according to a splicing rule, and matching the bottom data with the designated user group.
3. The method for monitoring the WeChat small program activity operation platform according to claim 1, wherein the analysis of the trend of the vermicelli data is to calculate vermicelli increment and vermicelli mobile phone number increment through the behavior state that a user pays attention to and cancels the attention of the WeChat small program platform in the set time period; and analyzing the page flow trend, namely presenting the page flow and the access amount by using the access index of the user in the set time period.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113885931A (en) * | 2021-08-27 | 2022-01-04 | 深圳思为科技有限公司 | Hosting method and device, electronic equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113885931A (en) * | 2021-08-27 | 2022-01-04 | 深圳思为科技有限公司 | Hosting method and device, electronic equipment and storage medium |
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